<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sensitivity | Trustworthy AI Systems Lab (TAS Lab)</title><link>https://tas-lab.org/tag/sensitivity/</link><atom:link href="https://tas-lab.org/tag/sensitivity/index.xml" rel="self" type="application/rss+xml"/><description>Sensitivity</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://tas-lab.org/media/icon_hu_9cf092d4d003c2c7.png</url><title>Sensitivity</title><link>https://tas-lab.org/tag/sensitivity/</link></image><item><title>Backdoor Sample Detection through Progressive Perturbation and Loss Trajectory Analysis</title><link>https://tas-lab.org/publication/2026-backdoor-sample-detection-through-progressive-perturbation-and-loss-trajectory-a/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2026-backdoor-sample-detection-through-progressive-perturbation-and-loss-trajectory-a/</guid><description/></item><item><title>Sensitivity Based Robust Learning With Sampling In Adversarial Environment</title><link>https://tas-lab.org/publication/2020-sensitivity-based-robust-learning-with-sampling-in-adversarial-environment/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2020-sensitivity-based-robust-learning-with-sampling-in-adversarial-environment/</guid><description/></item><item><title>Sensitivity based robust learning for stacked autoencoder against evasion attack</title><link>https://tas-lab.org/publication/2017-sensitivity-based-robust-learning-for-stacked-autoencoder-against-evasion-attack/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2017-sensitivity-based-robust-learning-for-stacked-autoencoder-against-evasion-attack/</guid><description/></item><item><title>Multiple classifier system with sensitivity based dynamic weighting fusion for hand gesture recognition</title><link>https://tas-lab.org/publication/2016-multiple-classifier-system-with-sensitivity-based-dynamic-weighting-fusion-for-h/</link><pubDate>Fri, 01 Jan 2016 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2016-multiple-classifier-system-with-sensitivity-based-dynamic-weighting-fusion-for-h/</guid><description/></item></channel></rss>